Tag: AWS Glue

Customers with IBM i and AIX environments are keen to accelerate their modernization with AWS. By reducing complexity or cost, customers can benefit from a low latency, hybrid solution that enables new use cases derived from the connectivity between managed IBM i/AIX and AWS. Connectria is an AWS Migration Competency Partner and audited MSP that provides a fully managed hosting service for IBM i and AIX systems.

Application modernization requires a holistic approach, and Cloudwiry enables optimization and modernization of cloud deployments by evaluating AWS services involved. Learn how the Cloudwiry Enterprise platform can help your organization make informed decisions about application modernization. This post also takes a deeper look into specific examples of how Cloudwiry has helped customers optimize their cloud usage on AWS.

There is broad acceptance that AI and ML will help improve health outcomes for patients, and make healthcare more affordable. Data Science as a Service (DSaaS) from Change Healthcare is a secure, managed, healthcare data science platform that customers can leverage the embedded datasets and load their own datasets to be linked to deliver transformative and compliant insights. Learn how Change Healthcare built DSaaS to address the needs of practitioners developing AI/ML algorithms.

Despite the investments and commitment from leadership, many organizations are yet to realize the full potential of artificial intelligence (AI) and machine learning (ML). How can data science and analytics teams tame complexity and live up to the expectations placed on them? MLOps provides some answers. Hear from AWS Premier Consulting Partner Reply how you can “glue” the various components of MLOps together to build an MLOps solution using AWS managed services.

Running virtual machines with databases or datastores on VMware Cloud on AWS lets you use the same management tools and VMs as on your on-premises VMware vSphere environment. You can easily extend these workloads to the cloud and take advantage of AWS on-demand delivery, global footprint, elasticity, and scalability. Learn how VMware Cloud on AWS brings these datasets closer to AWS Analytics Services, making it easier to use services to draw meaningful insights from business data.

Secure Cloud Foundation is a fully managed platform-as-a-service offering from Infosys Compaz (iCompaz), an Infosys Limited joint venture. It provides a managed platform with foundational secure landing zone capabilities, as well as application and workload hosting capabilities. Secure Cloud Foundation helps customers achieve enterprise-grade security for their workloads running on AWS. In this post, walk through typical customer cloud adoption scenarios that could leverage the Secure Cloud Foundation.

In the financial services domain, it’s a common architecture pattern to find shared services file servers that act as SFTP file server or FTP server. Because these financial applications are not always API driven, data exchange using flat files remains the standard way to share information between applications, even when some of them have been migrated to AWS. Learn how DXC Technology addressed migrating this type of server using AWS Transfer Family, Amazon S3, and Amazon EFS.

Environmental, social, and governance (ESG) factors are increasingly important for financial institutions as they look to assess portfolio risk, meet investment mandates, align with customer values, and report on the sustainability of their portfolios. Working closely with CSRHub, a data provider on AWS Data Exchange, learn how AWS has produced a demonstration to illustrate how customers can analyze company-level ESG scoring data with Amazon QuickSight.

Organizations need a comprehensive data management solution that includes data quality, cleansing, de-duplication, and curation capabilities. After consolidating trusted golden records, they need to enforce governance requirements and track changes over time. Semarchy’s xDM platform is an innovation in multi-vector Main Data Management (MDM) that leverages smart algorithms and material design to simplify data stewardship, governance, and integration.

Developing and maintaining an on-premises data lake is a complex undertaking. To maximize the value of data and use it as the basis for critical decisions, the data platform must be flexible and cost-effective. Learn how to build a hybrid data lake with Alluxio to leverage analytics and AI on AWS alongside a multi-petabyte on-premises data lake. Alluxio’s solution is called “zero-copy” hybrid cloud, indicating a cloud migration approach without first copying data to Amazon S3.